Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.

碩士 === 國立中央大學 === 土木工程研究所 === 96 === The spacing between wind turbines in a wind farm could influence the total power output of the wind farm. In this study, Particle Swarm Optimization (PSO) was used to study the optimal spacing (both streamwise and lateral spacing) of wind turbine array. The pow...

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Bibliographic Details
Main Authors:	Jinyi Hsu, 許靜宜
Other Authors:	none
Format:	Others
Language:	zh-TW
Published:	2008
Online Access:	http://ndltd.ncl.edu.tw/handle/4e9vw7

id	ndltd-TW-096NCU05015098
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spelling	ndltd-TW-096NCU050150982019-05-15T19:38:20Z http://ndltd.ncl.edu.tw/handle/4e9vw7 Particle Swarm Optimization was used to study the optimal spacing of wind turbine array. 利用粒子族群演算法研究風車陣列之最佳間距 Jinyi Hsu 許靜宜碩士國立中央大學土木工程研究所 96 The spacing between wind turbines in a wind farm could influence the total power output of the wind farm. In this study, Particle Swarm Optimization (PSO) was used to study the optimal spacing (both streamwise and lateral spacing) of wind turbine array. The power output of downstream wind turbines were calculated by two different methods - mean wind speed method and wake power curve method. Under different wind directions, the optimal spacing found by the PSO were compared and analyzed. The results show that the optimal spacing of wind turbines was not only influenced by the objective function of optimization, but also the calculation method of power output. none 朱佳仁 2008 學位論文 ; thesis 83 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立中央大學 === 土木工程研究所 === 96 === The spacing between wind turbines in a wind farm could influence the total power output of the wind farm. In this study, Particle Swarm Optimization (PSO) was used to study the optimal spacing (both streamwise and lateral spacing) of wind turbine array. The power output of downstream wind turbines were calculated by two different methods - mean wind speed method and wake power curve method. Under different wind directions, the optimal spacing found by the PSO were compared and analyzed. The results show that the optimal spacing of wind turbines was not only influenced by the objective function of optimization, but also the calculation method of power output.
author2	none
author_facet	none Jinyi Hsu 許靜宜
author	Jinyi Hsu 許靜宜
spellingShingle	Jinyi Hsu 許靜宜 Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
author_sort	Jinyi Hsu
title	Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
title_short	Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
title_full	Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
title_fullStr	Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
title_full_unstemmed	Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.
title_sort	particle swarm optimization was used to study the optimal spacing of wind turbine array.
publishDate	2008
url	http://ndltd.ncl.edu.tw/handle/4e9vw7
work_keys_str_mv	AT jinyihsu particleswarmoptimizationwasusedtostudytheoptimalspacingofwindturbinearray AT xǔjìngyí particleswarmoptimizationwasusedtostudytheoptimalspacingofwindturbinearray AT jinyihsu lìyònglìzizúqúnyǎnsuànfǎyánjiūfēngchēzhènlièzhīzuìjiājiānjù AT xǔjìngyí lìyònglìzizúqúnyǎnsuànfǎyánjiūfēngchēzhènlièzhīzuìjiājiānjù
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Particle Swarm Optimization was used to study the optimal spacing of wind turbine array.

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